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Can the quality of scientific work be predicted using information on the author's track record?
Umeå University, Faculty of Social Sciences, Department of Sociology.
2011 (English)In: Journal of The American Society For Information Science And Technology, ISSN 1532-2882, E-ISSN 1532-2890, Vol. 62, no 1, 50-60 p.Article in journal (Refereed) Published
Abstract [en]

Many countries are moving towards research policies that emphasize excellence; consequently; they develop evaluation systems to identify universities, research groups, and researchers that can be said to be “excellent.” Such active research policy strategies, in which evaluations are used to concentrate resources, are based on an unsubstantiated assumption that researchers' track records are indicative of their future research performance. In this study, information on authors' track records (previous publication volume and previous citation rate) is used to predict the impact of their articles. The study concludes that, to a certain degree, the impact of scientific work can be predicted using information on how often an author's previous publications have been cited. The relationship between past performance and the citation rate of articles is strongest at the high end of the citation distribution. The implications of these results are discussed in the context of a cumulative advantage process.

Place, publisher, year, edition, pages
John Wiley & Sons, Inc. , 2011. Vol. 62, no 1, 50-60 p.
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Research subject
URN: urn:nbn:se:umu:diva-40579DOI: 10.1002/asi.21454OAI: diva2:401083
Available from: 2011-03-01 Created: 2011-03-01 Last updated: 2011-03-01Bibliographically approved

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Danell, Rickard
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